MultiBench
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
Explore a collection of benchmarks designed for learning from multiple types of data.
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Free · no card · unsubscribe anytime[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
MultiBench has 634 stars on GitHub. It has been forked 99 times. MultiBench is written mainly in HTML. It has been in active development since 2021. MultiBench is available under the MIT license. Its main topics are computer-vision, deep-learning, healthcare, machine-learning.
What is MultiBench?
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
Is MultiBench open source?
MultiBench is an open-source project. It is released under the MIT license.
Is MultiBench free?
Yes. MultiBench is free and open source — you can use, modify and self-host it.
What license does MultiBench use?
MultiBench is available under the MIT license.
What language is MultiBench written in?
MultiBench is written mainly in HTML.
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